QOL-21. PSYCHOMETRIC VALIDATION OF THE FEAR OF CANCER RECURRENCE INVENTORY FOR PRIMARY BRAIN TUMOR PATIENTS

QOL-21. 原发性脑肿瘤患者癌症复发恐惧量表的心理测量学验证

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Abstract

BACKGROUND: Fear of cancer recurrence and progression (FCR) is a significant concern among those living with primary brain tumor and may be distinct compared to FCR in other cancer populations due to poorer prognosis, neurologic symptoms, and often lifelong treatment. The gold-standard comprehensive assessment tool for FCR–the FCR Inventory (FCRI)–includes 42 items with seven subscales. Validation of the FCRI scale excluded those with primary brain tumors. The present study is the first examination of the psychometric properties of the full FCRI in a heterogeneous sample of patients with primary brain tumors. METHODS: Adult patients with primary brain tumors (n=334) completed the FCRI, with six additional brain tumor-specific items, and psychological, medical, and demographic questionnaires. In accordance with best practices of measure development, exploratory factor analysis (EFA) was conducted on the FCRI at the subscale level. Correlations investigated construct validity. RESULTS: EFA largely supported the overall psychometric properties of the original FCRI. Several subscales were unchanged: Psychological Distress, Functioning Impairments, Insight, and Reassurance. One brain tumor-specific item (researching treatments) exhibited good fit on the Coping Skills subscale. On the Severity subscale, one item (belief that the tumor will not return) did not fit with an otherwise strong one-factor model. Additionally, five new brain tumor-specific items demonstrated good fit with the Triggers subscale. The resultant FCRI-Brain includes 41 original FCRI items plus six new brain tumor-specific items. FCRI-Brain demonstrated good convergent validity with measures of depression (r=.72), anxiety (r=.75), and death anxiety (r=.80; ps<.05). CONCLUSIONS: This is the first validation of the comprehensive FCRI in patients with primary brain tumors. Factor analysis identified a theoretically similar and brain-tumor specific seven-factor model for the FCRI-Brain. Item-level and subscale statistics will be presented, including factor iteration and construction. Future work will use the FCRI to investigate FCR intervention efficacy in neuro-oncology.

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